Improved Evaluation of Cultivation Performance for Maize Based on Group Decision Method of Data Envelopment Analysis Model

Maize cultivation performance, including the efficiency of input and output maize, which reflect allocation utilization resources in process maize cultivation, is crucial for evaluating improving cultivation. This paper adopts method quadratic regression orthogonal rotation combination experimental design to explore effects four main measures (planting density, nitrogen fertilizer, phosphorus fertilizer potassium fertilizer) on yield at five levels (−2, −1, 0, 1; 2). The CCR (A. Charnes, W. Cooper E. Rhodes) model, basic model data envelopment analysis (DEA), was used evaluate 36 groups measures. results show that 9 are CCR-effective measures, but performance these cannot be further evaluated. To improve evaluation a novel termed as group decision DEA (GDM-DEA) proposed detect improvement tested using measurements suggest GDM-DEA can classify sort all more sensitive accurate than method. For effective meet requirements GDM-DEA, optimal could determined according ranking yield. most measure. Further independent validation showed final fall range expected capable effectively performance.